Principles of synthetic intelligence : PSI : an architecture of motivated cognition
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Principles of synthetic intelligence : PSI : an architecture of motivated cognition
- by
- Bach, Joscha
- Publication date
- 2009
- Topics
- Cognition, Artificial intelligence
- Publisher
- Oxford ; New York : Oxford University Press
- Collection
- internetarchivebooks; nationaluniversity; printdisabled
- Contributor
- Internet Archive
- Language
- English
- Item Size
- 905.5M
xxv, 374 p. : 25 cm
"Based on a doctoral dissertation submitted at the Institute for Cognitive Science, Fachbereich Humanwissenschaften, Universitat Osnabruck."
Includes bibliographical references (p. 325-357) and index
1. Machines to explain the mind -- 1.1. From psychology to computational modeling -- 1.2. Classes of cognitive models -- 1.3. Machines of cognition -- 2. Dorner's "blueprint for a mind" -- 2.1. Terminological remarks -- 2.2. An overview of the Psi theory and Psi agents -- 2.3. A simple autonomous vehicle -- 2.4. An outline of the Psi agent architecture -- 3. Representation of and for mental processes -- 3.1. Neural representations -- 3.2. Partonomies -- 3.3. Memory organization -- 3.4. Perception -- 3.5. HyPercept -- 3.6. Situation image -- 3.7. Mental stage -- 3.8. Managing knowledge -- 4. Behavior control and action selection -- 4.1. Appetence and aversion -- 4.2. Motivation -- 4.3. Motive selection -- 4.4. Intentions -- 4.5. Action -- 4.6. Modulators -- 4.7. Emotion -- 5. Language and future avenues -- 5.1. Language comprehension -- 5.2. Problem solving with language -- 5.3. Language and consciousness -- 5.4. Directions for future development -- 6. Dorner's Psi agent implementation -- 6.1. The Island simulation -- 6.2. Psi agents -- 6.3. Events and situations in EmoRegul and Island agents -- 6.4. The behavior cycle of the Psi agent -- 6.5. Emotional expression -- 7. From Psi to MicroPsi: Representations in the Psi model -- 7.1. Properties of the existing Psi model -- 7.2. Solving the Symbol Grounding Problem -- 7.3. Localism and distributedness -- 7.4. Missing links: technical deficits -- 7.5. Missing powers: conceptual shortcomings -- 8. The MicroPsi architecture -- 8.1. A framework for cognitive agents -- 8.2. Towards MicroPsi agents -- 8.3. Representations in MicroPsi: Executable compositional hierarchies -- 9. The MicroPsi Framework -- 9.1. Components -- 9.2. The node net editor and simulator -- 9.3. Providing an environment for agent simulation -- 9.4. Controlling agents with node nets: an example -- 9.5. Implementing a Psi agent in the MicroPsi framework -- 10. Summary: The Psi theory as a model of cognition -- 10.1. Main assumptions -- 10.2. Parsimony in the Psi theory -- 10.3. What makes Dorner's agents emotional? -- 10.4. Is the Psi theory a theory of human cognition? -- 10.5. Tackling the "Hard Problem"
"Based on a doctoral dissertation submitted at the Institute for Cognitive Science, Fachbereich Humanwissenschaften, Universitat Osnabruck."
Includes bibliographical references (p. 325-357) and index
1. Machines to explain the mind -- 1.1. From psychology to computational modeling -- 1.2. Classes of cognitive models -- 1.3. Machines of cognition -- 2. Dorner's "blueprint for a mind" -- 2.1. Terminological remarks -- 2.2. An overview of the Psi theory and Psi agents -- 2.3. A simple autonomous vehicle -- 2.4. An outline of the Psi agent architecture -- 3. Representation of and for mental processes -- 3.1. Neural representations -- 3.2. Partonomies -- 3.3. Memory organization -- 3.4. Perception -- 3.5. HyPercept -- 3.6. Situation image -- 3.7. Mental stage -- 3.8. Managing knowledge -- 4. Behavior control and action selection -- 4.1. Appetence and aversion -- 4.2. Motivation -- 4.3. Motive selection -- 4.4. Intentions -- 4.5. Action -- 4.6. Modulators -- 4.7. Emotion -- 5. Language and future avenues -- 5.1. Language comprehension -- 5.2. Problem solving with language -- 5.3. Language and consciousness -- 5.4. Directions for future development -- 6. Dorner's Psi agent implementation -- 6.1. The Island simulation -- 6.2. Psi agents -- 6.3. Events and situations in EmoRegul and Island agents -- 6.4. The behavior cycle of the Psi agent -- 6.5. Emotional expression -- 7. From Psi to MicroPsi: Representations in the Psi model -- 7.1. Properties of the existing Psi model -- 7.2. Solving the Symbol Grounding Problem -- 7.3. Localism and distributedness -- 7.4. Missing links: technical deficits -- 7.5. Missing powers: conceptual shortcomings -- 8. The MicroPsi architecture -- 8.1. A framework for cognitive agents -- 8.2. Towards MicroPsi agents -- 8.3. Representations in MicroPsi: Executable compositional hierarchies -- 9. The MicroPsi Framework -- 9.1. Components -- 9.2. The node net editor and simulator -- 9.3. Providing an environment for agent simulation -- 9.4. Controlling agents with node nets: an example -- 9.5. Implementing a Psi agent in the MicroPsi framework -- 10. Summary: The Psi theory as a model of cognition -- 10.1. Main assumptions -- 10.2. Parsimony in the Psi theory -- 10.3. What makes Dorner's agents emotional? -- 10.4. Is the Psi theory a theory of human cognition? -- 10.5. Tackling the "Hard Problem"
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